February 2026
AI ServeSmart Digest
Insights at the intersection of AI and enterprise strategy, helping leaders turn innovation into impact.
Welcome to the AI ServeSmart Digest, designed for leaders who are shaping the future with AI. Each month, we bring you sharp insights and real-world stories on how applied AI is solving today’s toughest business challenges, creating measurable impact, and opening new growth opportunities. Think of it as your executive lens on what’s next in enterprise AI.
The AI team is not reacting to AI’s evolution but actively shaping how it impacts enterprises. The team has built a solid culture of experimentation, curiosity, ambition to drive client impact. After 26 years of Fractal, it remains Day 1 for this team - not just a capability but a mindset to build Fractal together for decades to come.

Sagar Shah
Head of Pharma Practice
INSIGHT
AI for creative formulation in CPG
What if AI could help scientists reimagine product formulations? Fractal’s latest perspective highlights how AI-powered creative formulation can transform CPG product innovation. By combining structured scientific knowledge with large language models, AI can recommend ingredient alternatives, optimize formulations across multiple constraints, such as taste, nutrition, cost, and sustainability, and accelerate R&D cycles. The approach augments human expertise, enabling teams to innovate faster in highly competitive markets.
LLM Evaluation Framework for RAG & Agentic AI Systems
AI systems today can reason, retrieve data, and call tools — but evaluating their behavior remains a challenge. How do you know if a response is grounded, if the right tool was used, or if a workflow was completed correctly? This piece explains why LLM evaluation frameworks are the missing layer in modern AI systems.
OTHER READS
A practitioner’s journey into GenAI pipelines
For CXOs evaluating enterprise AI strategy, the real opportunity lies beyond conversational interfaces. In practice, many high-value GenAI systems
Turning Intent Into Action: The Missing Execution Layer in Modern AI
Modern AI assistants are great at conversation—but real systems require precise execution. FunctionGemma introduces a new layer in AI architecture by translating human intent into structured, reliable function calls for APIs, devices, and workflows. Discover why small, specialized models may be the missing link between AI reasoning and real-world action.
Contributors

Ayushi Singh Chhetri
Senior Data Scientist

Vibha Pant
Senior Data Scientist

Vishnu KT
Manager

Karan Samani
Lead Data Scientist

Abhijit Guha
Client Partner

Sumukh Bhalchandra Sule
Data Scientist

Prosenjit Banerjee
Principal Data Scientist

Chandramauli Chaudhuri
Client Partner

Soumo Chakraborty
Principal Architect

Anindya Sengupta
Client Partner

Sujit Shahir
Principal Data Scientist

Swarna Jha
Associate

Triparna Chatterjee
Associate

Parul Chaudhary
Data Scientist

Mandar Patil
Lead Data Scientist

Anik Chakraborty
Principal Data Scientist

Tanmay Garg
Lead Data Scientist

